<html><head><title>Data Engineer / Scientist - New York, NY</title></head>
<body><h2>Data Engineer / Scientist - New York, NY</h2>
<div>Skyline AI is redefining the world’s approach to the $200 trillion commercial real estate industry by building data technology that will<b> transform the market from the low-tech methods it’s been relying on for decades.</b></div><div>
Here at Skyline AI, our data is our fuel. We are constantly collecting new data sources, analyzing our many different types of data and extracting valuable information from it.</div><div>
We are looking for a versatile software engineer to join our data group. This is one of the broadest and most influential roles in the company - touching our data sources, data processing algorithms, ML research, and being responsible for the orchestration system on which it all relies.</div><div></div><br/>
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About Skyline AI</b></div><div>
Skyline AI is an asset management technology company for commercial real estate. Skyline AI partners with leading commercial real estate firms to establish next-generation investment vehicles augmented by artificial intelligence. Mining data from over 130 different sources and applying advanced AI models to detect and exploit market anomalies, identify superior risk-reward investments, and discover untapped value-add opportunities, Skyline AI is a new, more precise way to invest in real estate. Founded in 2017, Skyline AI is backed by Sequoia Capital, JLL (NYSE: JLL), Nyca Partners and others. The company has offices in New York and Tel Aviv.</div><div></div><br/>
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Responsibilities</b></div><ul><li>Maintain and improve our in-house git-inspired data pipeline orchestration system</li><li>Write applications that fetch data by various means, including PDF parsing, HTML scraping, and more</li><li>Perform Real Estate analysis based on the data repository we are continuously growing</li><li>Extract insights from our data, and generate predictions using data science techniques</li><li>Develop the algorithms which generate the datasets that are used by the whole R&amp;D department</li></ul><div><b>
Qualifications</b></div><ul><li>Proven software development ability, building complex and robust systems - at least 4 years</li><li>Proven analytical/research ability - data science, cyber-security, intelligence, academic, etc</li><li>Data engineering experience (data pipelines, ML architecture) - advantage</li><li>Web scraping experience - advantage</li><li>Python/Golang - advantage</li><li>ML libraries and tools (pandas, scikit-learn, jupyter notebook) - advantage</li><li>Team player, independent, able to work in an unstructured and fast-paced environment</li></ul></body>
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